actual_max_depth(void) | image_classification_tree | |
change_class_number_and_reset_probabilities(int new_class_number) | image_classification_tree | |
class_number | image_classifier | |
entropy(void) | image_classification_tree | |
image_classification_tree(LEARNPROGRESSION LearnProgress=0) | image_classification_tree | |
image_classification_tree(int image_width, int image_height, int class_number, int max_depth, LEARNPROGRESSION LearnProgress=0) | image_classification_tree | |
image_classifier(int image_width, int image_height, int class_number, LEARNPROGRESSION LearnProgress=0) | image_classifier | |
image_classifier(LEARNPROGRESSION LearnProgress=0) | image_classifier | |
image_height | image_classifier | |
image_width | image_classifier | |
LearnProgression | image_classifier | |
leaves_number(void) | image_classification_tree | |
load(string filename) | image_classification_tree | virtual |
max_depth | image_classification_tree | |
node_number(void) | image_classification_tree | |
posterior_probabilities(image_class_example *pv, int dummy=0) | image_classification_tree | virtual |
recognize(image_class_example *pv, float *confidence=0, int dummy=0) | image_classification_tree | virtual |
refine(example_generator *vg, int call_number) | image_classification_tree | virtual |
root | image_classification_tree | |
save(string filename) | image_classification_tree | virtual |
test(example_generator *vg, int call_number) | image_classification_tree | virtual |
~image_classification_tree() | image_classification_tree | |
~image_classifier() | image_classifier | inlinevirtual |